301 to 325 of 923 Machine Learning Jobs in London

client is building the most advanced AI platform in their market. They help their clients serve customers with unmatched speed and accuracy. They’ve invested heavily into building the ML stack, partnered with leading universities, and trained models on millions of expert-tagged images. Now, they’re scaling globally — and need a world-class Lead Data Scientist to help push … Overview They are looking for an experienced Lead Data Scientist to spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact AI solutions. Key Responsibilities … computer vision models (object detection, image classification, segmentation, multi-modal learning) · Fine-tune, evaluate, and productionise multi-modal LLMs for business applications. · Drive experimentation and prototyping of advanced ML/AI techniques · Provide technical direction, mentoring, and hands-on guidance to the data science team. · Work with engineering, product, and business stakeholders to align ML strategy with business goals. More ❯

annum | No Sponsorship | x3 week in office Backed by technology start up accelerator and VC Join a mission-driven AI startup transforming how medical and healthcare organisations collaborate. Using machine learning and advanced recommendation systems, the team helps to matchmake some of the leading Medical and Pharmaceuticalbusinesses with their extensive network of professionals. This allows them to engage … of autonomy and project ownership working in a fast paced start up environment. Responsibilities Own Product-Facing AI Solutions: Build and enhance AI-driven features within our product. Develop ML Models: Collaborate on research, training, optimization, and deployment of ML models across the platform. Design & Develop Scalable Systems: Contribute to backend and full-stack development, focusing on robust APIs and … speed, iteration, and thoughtful architecture are all essential. Must-Haves 3+ years of professional software engineering experience (backend, DevOps, or full stack). Proficiency in Python, with experience building ML-oriented solutions. Strong problem-solving and communication skills. Hands-on DevOps experience (CI/CD, version control). Familiarity with cloud infrastructure platforms, ideally Azure. Strong SQL & NoSQL experience (Elasticsearch More ❯

Role We are working with a global lottery/gambling provider on a 'Group Head of Data Science' role - you’ll be responsible for building and scaling their global Machine Learning and AI function that drives commercial performance, enhances player engagement, and enables smarter, real-time decisioning … across lottery, iGaming, and adjacent ventures. You’ll set the strategic vision, while building a high-performing team of data scientists. Key Responsibilities Own and execute the group-wide ML/AI strategy, aligning with key commercial priorities. Lead development and deployment of high-impact models (personalisation, churn, demand forecasting, pricing, etc.) into production. Establish governance and standards for model … and excellence. Track and report on ROI and business value delivered from predictive initiatives to senior leadership. What We’re Looking For 8+ years’ experience in data science and ML, with at least 2 years in a senior leadership capacity. Proven success delivering ML solutions that drive measurable commercial outcomes at scale. Hands-on expertise across the ML lifecycle, in More ❯

Role We are working with a global lottery/gambling provider on a 'Group Head of Data Science' role - you’ll be responsible for building and scaling their global Machine Learning and AI function that drives commercial performance, enhances player engagement, and enables smarter, real-time decisioning … across lottery, iGaming, and adjacent ventures. You’ll set the strategic vision, while building a high-performing team of data scientists. Key Responsibilities Own and execute the group-wide ML/AI strategy, aligning with key commercial priorities. Lead development and deployment of high-impact models (personalisation, churn, demand forecasting, pricing, etc.) into production. Establish governance and standards for model … and excellence. Track and report on ROI and business value delivered from predictive initiatives to senior leadership. What We’re Looking For 8+ years’ experience in data science and ML, with at least 2 years in a senior leadership capacity. Proven success delivering ML solutions that drive measurable commercial outcomes at scale. Hands-on expertise across the ML lifecycle, in More ❯

building the world’s first brain foundation models — large-scale AI systems designed to deeply understand, protect, and enhance the human brain. By generating our own data, developing novel machine learning approaches, and working closely with world-leading neuroscientists, the company aims to accelerate discoveries that transform how neurological diseases are treated and prevented. This is a rare … real-world insights from raw biological data. Key Responsibilities Design and implement distributed data pipelines for multi-omic, neuroscience, and clinical datasets Build a unified feature store to serve ML training and downstream biological analysis Develop scalable storage, ingestion, and validation systems with a focus on robustness, observability, and versioning Collaborate with ML researchers and biologists to translate raw data … Flyte/Temporal) Hands-on cloud engineering experience (AWS, GCP, or Azure) Strong software engineering fundamentals, with a track record of writing maintainable, testable, and extensible code Familiarity with ML infrastructure and prior experience supporting ML teams in production environments Bioinformatics or biological data exposure (preferred, not required) — willingness to learn is essential Excellent communication skills and ability to collaborate More ❯

building the world’s first brain foundation models — large-scale AI systems designed to deeply understand, protect, and enhance the human brain. By generating our own data, developing novel machine learning approaches, and working closely with world-leading neuroscientists, the company aims to accelerate discoveries that transform how neurological diseases are treated and prevented. This is a rare … real-world insights from raw biological data. Key Responsibilities Design and implement distributed data pipelines for multi-omic, neuroscience, and clinical datasets Build a unified feature store to serve ML training and downstream biological analysis Develop scalable storage, ingestion, and validation systems with a focus on robustness, observability, and versioning Collaborate with ML researchers and biologists to translate raw data … Flyte/Temporal) Hands-on cloud engineering experience (AWS, GCP, or Azure) Strong software engineering fundamentals, with a track record of writing maintainable, testable, and extensible code Familiarity with ML infrastructure and prior experience supporting ML teams in production environments Bioinformatics or biological data exposure (preferred, not required) — willingness to learn is essential Excellent communication skills and ability to collaborate More ❯

building the world’s first brain foundation models — large-scale AI systems designed to deeply understand, protect, and enhance the human brain. By generating our own data, developing novel machine learning approaches, and working closely with world-leading neuroscientists, the company aims to accelerate discoveries that transform how neurological diseases are treated and prevented. This is a rare … real-world insights from raw biological data. Key Responsibilities Design and implement distributed data pipelines for multi-omic, neuroscience, and clinical datasets Build a unified feature store to serve ML training and downstream biological analysis Develop scalable storage, ingestion, and validation systems with a focus on robustness, observability, and versioning Collaborate with ML researchers and biologists to translate raw data … Flyte/Temporal) Hands-on cloud engineering experience (AWS, GCP, or Azure) Strong software engineering fundamentals, with a track record of writing maintainable, testable, and extensible code Familiarity with ML infrastructure and prior experience supporting ML teams in production environments Bioinformatics or biological data exposure (preferred, not required) — willingness to learn is essential Excellent communication skills and ability to collaborate More ❯

building the world’s first brain foundation models — large-scale AI systems designed to deeply understand, protect, and enhance the human brain. By generating our own data, developing novel machine learning approaches, and working closely with world-leading neuroscientists, the company aims to accelerate discoveries that transform how neurological diseases are treated and prevented. This is a rare … real-world insights from raw biological data. Key Responsibilities Design and implement distributed data pipelines for multi-omic, neuroscience, and clinical datasets Build a unified feature store to serve ML training and downstream biological analysis Develop scalable storage, ingestion, and validation systems with a focus on robustness, observability, and versioning Collaborate with ML researchers and biologists to translate raw data … Flyte/Temporal) Hands-on cloud engineering experience (AWS, GCP, or Azure) Strong software engineering fundamentals, with a track record of writing maintainable, testable, and extensible code Familiarity with ML infrastructure and prior experience supporting ML teams in production environments Bioinformatics or biological data exposure (preferred, not required) — willingness to learn is essential Excellent communication skills and ability to collaborate More ❯

communication presentation and stakeholder management skills Strong analytical thinking and complex problemsolving capabilities Good to have Qualifications Genesys Certified Professional GCP or Genesys Certified Expert GCE Experience with AI machine learning Copilot and customer experience analytics Familiarity with AgileScrum methodologies Experience in global contact center implementations and largescale deployments More ❯

communication presentation and stakeholder management skills Strong analytical thinking and complex problemsolving capabilities Good to have Qualifications Genesys Certified Professional GCP or Genesys Certified Expert GCE Experience with AI machine learning Copilot and customer experience analytics Familiarity with AgileScrum methodologies Experience in global contact center implementations and largescale deployments More ❯

communication presentation and stakeholder management skills Strong analytical thinking and complex problemsolving capabilities Good to have Qualifications Genesys Certified Professional GCP or Genesys Certified Expert GCE Experience with AI machine learning Copilot and customer experience analytics Familiarity with AgileScrum methodologies Experience in global contact center implementations and largescale deployments More ❯

communication presentation and stakeholder management skills Strong analytical thinking and complex problemsolving capabilities Good to have Qualifications Genesys Certified Professional GCP or Genesys Certified Expert GCE Experience with AI machine learning Copilot and customer experience analytics Familiarity with AgileScrum methodologies Experience in global contact center implementations and largescale deployments More ❯

tools such as Docker and Kubernetes. Familiarity with event-driven architecture and message brokers (e.g., Kafka, RabbitMQ). Knowledge of front-end performance optimisation and accessibility standards. Exposure to machine learning pipelines or data engineering workflows. Prior experience working in startup environments or high-growth technology companies. Benefits Hybrid working as standard 25 days annual leave plus bank More ❯

may include: Experience at a large Consulting firm (preferably Analytics consulting) Experience in the financial services industry Degree in a quantitative field (Statistics, Computer Science, Mathematics, etc.) Knowledge of machine learning and AI applications Familiarity with data governance frameworks Understanding of agile methodologies Experience mentoring junior team members Knowledge of programming languages commonly used in analytics (Python, R More ❯

Mimica Maker. This will be a product that allows users to build and orchestrate bots from the data we record. You will build pipelines and core components of our ML systems, deliver new AI features and drive improvements to our infrastructure and services. As a founding member of the Maker Team, you'll have the opportunity to shape our technical … direction, processes and culture. Part of your day-to-day Working with Machine Learning Engineers to bring our Computer Use Tool to production by building and supporting ML-driven applications. Develop integrations and services that communicate between different backend components. Furthering Developer Experience (DevEx) by mentoring others in writing code that is intuitive, clear, and easy to test … Developing observability for new and existing ML applications and GenAI/LLM integrations, making use of the Grafana Stack (Prometheus, Loki, Tempo) Working closely with Data Scientists and ML Engineers throughout the lifecycle of productionising their models Being responsive to incidents regarding ML applications - including an understanding of how to triage and resolve issues relating to CPU, memory, and GPU More ❯

get there): Cloud platforms (AWS, Azure) Containerisation (Docker, Kubernetes) Database systems (SQL, NoSQL, Graph) Configuration & deployment tools (Ansible) Exposure to Machine Learning frameworks (TensorFlow, AWS/Azure ML) The Package Up to £72,000 base salary Bonus scheme Hybrid working – London or Manchester hub Private healthcare & pension Career development pathways in a consulting-style environment Opportunities to contribute More ❯

get there): Cloud platforms (AWS, Azure) Containerisation (Docker, Kubernetes) Database systems (SQL, NoSQL, Graph) Configuration & deployment tools (Ansible) Exposure to Machine Learning frameworks (TensorFlow, AWS/Azure ML) The Package Up to £72,000 base salary Bonus scheme Hybrid working – London or Manchester hub Private healthcare & pension Career development pathways in a consulting-style environment Opportunities to contribute More ❯

get there): Cloud platforms (AWS, Azure) Containerisation (Docker, Kubernetes) Database systems (SQL, NoSQL, Graph) Configuration & deployment tools (Ansible) Exposure to Machine Learning frameworks (TensorFlow, AWS/Azure ML) The Package Up to £72,000 base salary Bonus scheme Hybrid working – London or Manchester hub Private healthcare & pension Career development pathways in a consulting-style environment Opportunities to contribute More ❯

get there): Cloud platforms (AWS, Azure) Containerisation (Docker, Kubernetes) Database systems (SQL, NoSQL, Graph) Configuration & deployment tools (Ansible) Exposure to Machine Learning frameworks (TensorFlow, AWS/Azure ML) The Package Up to £72,000 base salary Bonus scheme Hybrid working – London or Manchester hub Private healthcare & pension Career development pathways in a consulting-style environment Opportunities to contribute More ❯

for electronic trading systems. Build and optimise components for real-time data processing, order execution, and market connectivity. Collaborate with quants, traders, and data scientists to integrate AI and machine learning models into trading workflows. Implement microservices and APIs for internal and external system integration. Optimises system performance, scalability, and fault tolerance for high-availability environments. Participate in … time, high-throughput systems (ideally in finance or trading). Familiarity with electronic trading platforms, FIX protocol, or market data feeds is a strong plus. Exposure to AI/ML frameworks or data science tools is desirable. Proficiency in SQL and experience with relational databases (e.g. SQL Server, PostgreSQL). Experience with cloud infrastructure (Azure, AWS, or GCP) and DevOps More ❯

relationships with clients and internal stakeholders to deliver integrated, value-driven solutions. Mentor and develop consulting teams and our future leaders, modelling transformational leadership and a commitment to continuous learning and growth. Maintain full accountability for outcomes, including financial targets, client impact, and the ongoing development of DT’s capabilities and reputation in the market. You will thrive in … or global capability centre environment. Expertise in building and maintaining automated data pipelines and scalable analytics infrastructure to support strategic decision-making and business operations. Proficiency in statistical concepts, machine learning algorithms, and advanced quantitative research methodologies. Experience with cloud platforms (AWS, Azure, GCP) and modern data architectures. Demonstrated entrepreneurial mindset, with a passion for delivering outstanding client More ❯

relationships with clients and internal stakeholders to deliver integrated, value-driven solutions. Mentor and develop consulting teams and our future leaders, modelling transformational leadership and a commitment to continuous learning and growth. Maintain full accountability for outcomes, including financial targets, client impact, and the ongoing development of DT’s capabilities and reputation in the market. You will thrive in … or global capability centre environment. Expertise in building and maintaining automated data pipelines and scalable analytics infrastructure to support strategic decision-making and business operations. Proficiency in statistical concepts, machine learning algorithms, and advanced quantitative research methodologies. Experience with cloud platforms (AWS, Azure, GCP) and modern data architectures. Demonstrated entrepreneurial mindset, with a passion for delivering outstanding client More ❯

relationships with clients and internal stakeholders to deliver integrated, value-driven solutions. Mentor and develop consulting teams and our future leaders, modelling transformational leadership and a commitment to continuous learning and growth. Maintain full accountability for outcomes, including financial targets, client impact, and the ongoing development of DT’s capabilities and reputation in the market. You will thrive in … or global capability centre environment. Expertise in building and maintaining automated data pipelines and scalable analytics infrastructure to support strategic decision-making and business operations. Proficiency in statistical concepts, machine learning algorithms, and advanced quantitative research methodologies. Experience with cloud platforms (AWS, Azure, GCP) and modern data architectures. Demonstrated entrepreneurial mindset, with a passion for delivering outstanding client More ❯

relationships with clients and internal stakeholders to deliver integrated, value-driven solutions. Mentor and develop consulting teams and our future leaders, modelling transformational leadership and a commitment to continuous learning and growth. Maintain full accountability for outcomes, including financial targets, client impact, and the ongoing development of DT’s capabilities and reputation in the market. You will thrive in … or global capability centre environment. Expertise in building and maintaining automated data pipelines and scalable analytics infrastructure to support strategic decision-making and business operations. Proficiency in statistical concepts, machine learning algorithms, and advanced quantitative research methodologies. Experience with cloud platforms (AWS, Azure, GCP) and modern data architectures. Demonstrated entrepreneurial mindset, with a passion for delivering outstanding client More ❯

proficiency in Python, SQL, and machine learning frameworks. Experience with cloud platforms (Azure, AWS, GCP) and tools like Databricks, DBT, Airflow, or Terraform. Familiarity with AI/ML applications and modern analytics tooling. Excellent communication skills and ability to work independently in a fast-paced environment. Why Join? Be part of a mission-driven team transforming how people More ❯